The datafied welfare state: a perspective from the UK

Dencik, Lina. 2022. The datafied welfare state: a perspective from the UK. In: Andreas Hepp; Juliane Jarke and Leif Kramp, eds. New Perspectives in Critical Data Studies The Ambivalences of Data Power. Cham, Switzerland: Palgrave, pp. 145-165. ISBN 9783030961800 [Book Section]

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Abstract or Description

The crisis emerging from the COVID-19 pandemic has elevated the relevance of the welfare state as well as the role of platforms and data infrastructures across key areas of public and social life. Whilst the crisis shed light on the ways in which these might intersect, the turn to data-driven systems in public administration has been a prominent development in several countries for quite some time. In this chapter I focus on the UK as a pertinent example of key trends at the intersection of technological infrastructures and the welfare state. In particular, using developments in UK welfare sectors as a lens, I advance a two-part argument about the ways in which data infrastructures are transforming state-citizen relations through on the one hand advancing an actuarial logic based on personalised risk and the individualisation of social problems (what I refer to as responsibilisation) and, on the other, entrenching a dependency on an economic model that perpetuates the circulation of data accumulation (what I refer to as rentierism). These mechanisms, I argue, fundamentally shift the 'matrix of social power' that made the modern welfare state possible and position questions of data infrastructures as a core component of how we need to understand social change. "We are witnessing the gradual disappearance of the postwar British welfare state

Item Type:

Book Section

Identification Number (DOI):

https://doi.org/10.1007/978-3-030-96180-0_7

Keywords:

Covid-19, datafication, welfare in the UK, rentierism

Departments, Centres and Research Units:

Media, Communications and Cultural Studies

Dates:

DateEvent
21 May 2022Published

Item ID:

37259

Date Deposited:

23 Jul 2024 10:59

Last Modified:

23 Jul 2024 14:49

URI:

https://research.gold.ac.uk/id/eprint/37259

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